Principal Investigator
Research interests
include the development of large-scale decentralised and collaborative intelligent systems, enabling robot teams to operate cohesively through advanced environmental perception, inter-robot communication, and coordinated actions.
Ph.D. research
introduced a unified framework for generalised coverage of point, curve, and area features in environments, formalised as graph-based optimisation problems.
The framework grounds approximation algorithms with provable guarantees and fast heuristics for large-scale problems, validated in extensive simulations and real-world experiments.
Additionally, interests span the design and analysis of mechanisms and parallel robots using optimisation techniques, along with symbolic algebra systems, open-source library development, project leadership, and student mentorship.